53887
4221
{"search_strategy":"beam","use_nominal_sets":"false","post_processing_count":"20","maximum_coverage_fraction":"1.0","numeric_operators":"<html>≤, ≥<\/html>","overall_ranking_loss":"0.0","post_processing_do_autorun":"true","search_depth":"1","search_strategy_width":"256","nr_threads":"1","alpha":"0.5","beam_seed":"","maximum_subgroups":"100","maximum_time":"1.0","minimum_coverage":"2","nr_bins":"256","numeric_strategy":"best-bins","beta":"1.0"}
search_strategy
beam
4221
use_nominal_sets
false
4221
post_processing_count
20
4221
maximum_coverage_fraction
1.0
4221
numeric_operators
<html>≤, ≥</html>
4221
overall_ranking_loss
0.0
4221
post_processing_do_autorun
true
4221
search_depth
1
4221
search_strategy_width
256
4221
nr_threads
1
4221
alpha
0.5
4221
beam_seed
4221
maximum_subgroups
100
4221
maximum_time
1.0
4221
minimum_coverage
2
4221
nr_bins
256
4221
numeric_strategy
best-bins
4221
beta
1.0
4221
Cortana
coverage
openml.evaluation.coverage(1.0)
884
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quality
openml.evaluation.quality(1.0)
0.911702036857605
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probability
openml.evaluation.probability(1.0)
0.33597285067873306
[0.33597285067873306, 0.3020408163265306, 0.2653061224489796, 0.2689152233363719, 0.2813102119460501, 0.26205641492265697, 0.2452667814113597, 0.2396972245584525, 0.22061068702290076, 0.19691895512391158, 0.3054298642533937, 0.21722560975609756, 0.25749063670411987, 0.2203125, 0.21162444113263784, 0.20041899441340782, 0.21875, 0.19022103148024114, 0.15984930032292788, 0.17523219814241486, 0.1532047941636269, 0.16082359488035614, 0.1502860114404576, 0.14189189189189189, 0.1781647689216343, 0.13414634146341464, 0.13268608414239483, 0.14688664183076106, 0.12214374740340674, 0.11748526522593321, 0.12727272727272726, 0.14102564102564102, 0.12478411053540588, 0.12361466325660699, 0.11557788944723618, 0.1330166270783848, 0.11669303797468354, 0.11347248576850096, 0.18826219512195122, 0.11102886750555144, 0.10893246187363835, 0.10768126346015794, 0.13861386138613863, 0.12804878048780488, 0.1049317943336831, 0.10118043844856661, 0.10656342182890856, 0.10965250965250965, 0.13282051282051283, 0.09884678747940692, 0.12286374133949192, 0.13723346090759977, 0.12369172216936251, 0.1127946127946128, 0.10656370656370656, 0.12214828897338403, 0.1310344827586207, 0.12240963855421687, 0.0917459343356858, 0.10540540540540541, 0.11317494600431965, 0.09746922024623803, 0.11064366848969288, 0.12067307692307692, 0.11286089238845144, 0.10737439222042139, 0.10884918986289988, 0.10668855149774313, 0.10566801619433198, 0.09703599153140438, 0.08867750843817122, 0.0980678089682829, 0.08986615678776291, 0.09664478482859226, 0.08869949494949494, 0.08714329548941394, 0.09170896785109983, 0.08335712246645732, 0.08824466390570246, 0.10443307757885763, 0.08818796266495012, 0.09725400457665904, 0.07950907150480256, 0.10131255127153405, 0.08186469584991472, 0.08499539736115373, 0.07660239708181345, 0.09572784810126582, 0.09110787172011661, 0.08317698561601, 0.09172259507829977, 0.08919015340706386, 0.08057296329453895, 0.09403397866455947, 0.08175905853205327, 0.09722222222222222, 0.07779349363507779, 0.07582683517074483, 0.08832011535688536, 0.08133374883141166]
positives
openml.evaluation.positives(1.0)
297
[297, 296, 299, 295, 292, 288, 285, 285, 289, 294, 270, 285, 275, 282, 284, 287, 280, 284, 297, 283, 294, 289, 289, 294, 266, 286, 287, 276, 294, 299, 287, 275, 289, 290, 299, 280, 295, 299, 247, 300, 300, 300, 266, 273, 300, 300, 289, 284, 259, 300, 266, 251, 260, 268, 276, 257, 247, 254, 299, 273, 262, 285, 263, 251, 258, 265, 262, 260, 261, 275, 289, 269, 282, 265, 281, 284, 271, 292, 277, 245, 274, 255, 298, 247, 288, 277, 294, 242, 250, 266, 246, 250, 270, 238, 264, 231, 275, 282, 245, 261]
cortana_quality
openml.evaluation.cortana_quality(1.0)
0.911702036857605
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